This statistic shows the share of economic sectors in the gross domestic product (GDP) in Ethiopia from 2013 to 2023. In 2023, the share of agriculture in Ethiopia's gross domestic product was 35.79 percent, industry contributed approximately 24.48 percent and the services sector contributed about 36.98 percent.

Ethiopia: Value added in the agricultural sector as percent of GDP: The latest value from 2023 is 35.79 percent, a decline from 37.64 percent in 2022. In comparison, the world average is 9.91 percent, based on data from 166 countries. Historically, the average for Ethiopia from 1981 to 2023 is 44.5 percent. The minimum value, 31.22 percent, was reached in 2018 while the maximum of 62.28 percent was recorded in 1992.

The Gross Domestic Product (GDP) in Ethiopia was worth 163.70 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Ethiopia represents 0.15 percent of the world economy. This dataset provides the latest reported value for - Ethiopia GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Ethiopia ET: GDP: % of GDP: Gross Fixed Capital Formation: Private Sector data was reported at 24.868 % in 2017. This records an increase from the previous number of 23.882 % for 2016. Ethiopia ET: GDP: % of GDP: Gross Fixed Capital Formation: Private Sector data is updated yearly, averaging 21.812 % from Jul 2011 (Median) to 2017, with 7 observations. The data reached an all-time high of 24.868 % in 2017 and a record low of 13.701 % in 2011. Ethiopia ET: GDP: % of GDP: Gross Fixed Capital Formation: Private Sector data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank: Gross Domestic Product: Share of GDP. Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

Industry (including construction), value added (% of GDP) in Ethiopia was reported at 25.42 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Industry, value added (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Abstract

The Ethiopia Socioeconomic Panel Survey (ESPS) is a collaborative project between the Ethiopian Statistical Service (ESS) and the World Bank Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) team. The objective of the LSMS-ISA is to collect multi-topic, household-level panel data with a special focus on improving agriculture statistics and generating a clearer understanding of the link between agriculture and other sectors of the economy. The project also aims to build capacity, share knowledge across countries, and improve survey methodologies and technology. ESPS is a long-term project to collect panel data. The project responds to the data needs of the country, given the dependence of a high percentage of households on agriculture activities in the country. The ESPS collects information on household agricultural activities along with other information on the households like human capital, other economic activities, and access to services and resources. The ability to follow the same households over time makes the ESPS a new and powerful tool for studying and understanding the role of agriculture in household welfare over time as it allows analyses of how households add to their human and physical capital, how education affects earnings, and the role of government policies and programs on poverty, inter alia. The ESPS is the first-panel survey to be carried out by the Ethiopian Statistical Service that links a multi-topic household questionnaire with detailed data on agriculture.

Geographic coverage

National Regional Urban and Rural

Analysis unit

• Household
• Individual
• Community

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame for the second phase ESPS panel survey is based on the updated 2018 pre-census cartographic database of enumeration areas by the Ethiopian Statistical Service (ESS). The sample is a two-stage stratified probability sample. The ESPS EAs in rural areas are the subsample of the AgSS EA sample. That means the first stage of sampling in the rural areas entailed selecting enumeration areas (i.e., the primary sampling units) using simple random sampling (SRS) from the sample of the 2018 AgSS enumeration areas (EAs). The first stage of sampling for urban areas is selecting EAs directly from the urban frame of EAs within each region using systematic PPS. This is designed to automatically result in a proportional allocation of the urban sample by zone within each region. Following the selection of sample EAs, they are allocated by urban rural strata using power allocation which is happened to be closer to proportional allocation.

The second stage of sampling is the selection of households to be surveyed in each sampled EA using systematic random sampling. From the rural EAs, 10 agricultural households are selected as a subsample of the households selected for the AgSS, and 2 non-agricultural households are selected from the non-agriculture households list in that specific EA. The non-agriculture household selection follows the same sampling method i.e., systematic random sampling. One important issue to note in ESPS sampling is that the total number of agriculture households per EA remains at 10 even though there are less than 2 or no non-agriculture households are listed and sampled in that EA. For urban areas, a total of 15 households are selected per EA regardless of the households’ economic activity. The households are selected using systematic random sampling from the total households listed in that specific EA.

The ESPS-5 kept all the ESPS-4 samples except for those in the Tigray region and a few other places. A more detailed description of the sample design is provided in Section 3 of the Basic Information Document provided under the Related Materials tab.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The ESPS-5 survey consisted of four questionnaires (household, community, post-planting, and post-harvest questionnaires), similar to those used in previous waves but revised based on the results of those waves and on the need for new data they revealed. The following new topics are included in ESPS-5:

a. Dietary Quality: This module collected information on the household’s consumption of specified food items.

b. Food Insecurity Experience Scale (FIES): In this round the survey has implemented FIES. The scale is based on the eight food insecurity experience questions on the Food Insecurity Experience Scale | Voices of the Hungry | Food and Agriculture Organization of the United Nations (fao.org).

c. Basic Agriculture Information: This module is designed to collect minimal agriculture information from households. It is primarily for urban households. However, it was also used for a few rural households where it was not possible to implement the full agriculture module due to security reasons and administered for urban households. It asked whether they had undertaken any agricultural activity, such as crop farming and tending livestock) in the last 12 months. For crop farming, the questions were on land tenure, crop type, input use, and production. For livestock there were also questions on their size and type, livestock products, and income from sales of livestock or livestock products.

d. Climate Risk Perception: This module was intended to elicit both rural and urban households perceptions, beliefs, and attitudes about different climate-related risks. It also asked where and how households were obtaining information on climate and weather-related events.

e. Agriculture Mechanization and Video-Based Agricultural Extension: The rural area community questionnaire covered these areas rural areas. On mechanization the questions related to the penetration, availability and accessibility of agricultural machinery. Communities were also asked if they had received video-based extension services.

Cleaning operations

Final data cleaning was carried out on all data files. Only errors that could be clearly and confidently fixed by the team were corrected; errors that had no clear fix were left in the datasets. Cleaning methods for these errors are left up to the data user.

Response rate

ESPS-5 planned to interview 7,527 households from 565 enumeration areas (EAs) (Rural 316 EAs and Urban 249 EAs). However, due to the security situation in northern Ethiopia and to a lesser extent in the western part of the country, only a total of 4999 households from 438 EAs were interviewed for both the agriculture and household modules. The security situation in northern parts of Ethiopia meant that, in Tigray, ESPS-5 did not cover any of the EAs and households previously sampled. In Afar, while 275 households in 44 EAs had been covered by both the ESPS-4 agriculture and household modules, in ESPS-5 only 252 households in 22 EAs were covered by both modules. During the fifth wave, security was also a problem in both the Amhara and Oromia regions, so there was a comparable reduction in the number of households and EAs covered there.

More detailed information is available in the BID.

Ethiopia ET: GDP: Growth: Gross Value Added: Industry data was reported at 18.683 % in 2017. This records a decrease from the previous number of 22.762 % for 2016. Ethiopia ET: GDP: Growth: Gross Value Added: Industry data is updated yearly, averaging 8.134 % from Jul 1982 (Median) to 2017, with 36 observations. The data reached an all-time high of 26.898 % in 1993 and a record low of -19.862 % in 1992. Ethiopia ET: GDP: Growth: Gross Value Added: Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for industrial value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Graph and download economic data for Claims on Private Sector for Ethiopia (ETHFDSAOPPCPPPT) from 2000 to 2024 about Ethiopia, REO, credits, sector, private, and rate.

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.

Ethiopia ET: BOP: Current Account: Secondary Income: Other Sectors: Payments data was reported at 42.866 USD mn in 2016. This records an increase from the previous number of 16.156 USD mn for 2015. Ethiopia ET: BOP: Current Account: Secondary Income: Other Sectors: Payments data is updated yearly, averaging 4.106 USD mn from Dec 1977 (Median) to 2016, with 40 observations. The data reached an all-time high of 70.255 USD mn in 2012 and a record low of 0.202 USD mn in 1994. Ethiopia ET: BOP: Current Account: Secondary Income: Other Sectors: Payments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank: Balance of Payments: Current Account. Secondary income refers to transfers recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars.; ; International Monetary Fund, Balance of Payments Statistics Yearbook and data files.; Sum; Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards.

Ethiopia: Value added in the services sector as percent of GDP: The latest value from 2024 is 37.58 percent, an increase from 36.98 percent in 2023. In comparison, the world average is 55.77 percent, based on data from 151 countries. Historically, the average for Ethiopia from 1981 to 2024 is 35.72 percent. The minimum value, 26.18 percent, was reached in 1992 while the maximum of 42.75 percent was recorded in 2003.

Ethiopia ET: GDP: Gross Fixed Capital Formation: Private Sector data was reported at 449,279.650 ETB mn in 2017. This records an increase from the previous number of 368,090.453 ETB mn for 2016. Ethiopia ET: GDP: Gross Fixed Capital Formation: Private Sector data is updated yearly, averaging 228,415.250 ETB mn from Jul 2011 (Median) to 2017, with 7 observations. The data reached an all-time high of 449,279.650 ETB mn in 2017 and a record low of 70,571.784 ETB mn in 2011. Ethiopia ET: GDP: Gross Fixed Capital Formation: Private Sector data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank.WDI: Gross Domestic Product: Nominal. Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets.; ; World Bank national accounts data, and OECD National Accounts data files.; ;

Ethiopia: Domestic credit to the private sector, percent of GDP: The latest value from 2008 is 17.71 percent, a decline from 18.53 percent in 2007. In comparison, the world average is 52.32 percent, based on data from 161 countries. Historically, the average for Ethiopia from 1981 to 2008 is 9.46 percent. The minimum value, 1.47 percent, was reached in 1991 while the maximum of 20.45 percent was recorded in 2006.

Ethiopia ET: Gross External Debt: Other Sectors: Short Term: Loans data was reported at 11.179 USD bn in Sep 2018. This records an increase from the previous number of 11.075 USD bn for Jun 2018. Ethiopia ET: Gross External Debt: Other Sectors: Short Term: Loans data is updated quarterly, averaging 11.018 USD bn from Dec 2017 (Median) to Sep 2018, with 4 observations. The data reached an all-time high of 11.179 USD bn in Sep 2018 and a record low of 10.898 USD bn in Dec 2017. Ethiopia ET: Gross External Debt: Other Sectors: Short Term: Loans data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank.QEDS: Gross External Debt: by Sector and Instrument.

Graph and download economic data for Geographical Outreach: Number of Branches, Excluding Headquarters, for Other Deposit Takers for Ethiopia (ETHFCBODDNUM) from 2005 to 2012 about branches and Ethiopia.

GDP from Agriculture in Ethiopia increased to 1046.10 ETB Billion in 2024 from 827.90 ETB Billion in 2023. This dataset provides - Ethiopia Gdp From Agriculture- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Ethiopia ET: Gross External Debt: Other Sectors: Other Financial Corporations: Long Term data was reported at 0.000 USD mn in Dec 2016. This stayed constant from the previous number of 0.000 USD mn for Sep 2016. Ethiopia ET: Gross External Debt: Other Sectors: Other Financial Corporations: Long Term data is updated quarterly, averaging 0.000 USD mn from Mar 2016 (Median) to Dec 2016, with 4 observations. Ethiopia ET: Gross External Debt: Other Sectors: Other Financial Corporations: Long Term data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank: QEDS: Gross External Debt: by Sector and Instrument.

Abstract

The Ethiopian Rural Socioeconomic Survey (ERSS) is a collaborative project between the Central Statistics Agency (CSA) of Ethiopia and the World Bank Living Standards Measurement Study- Integrated Surveys on Agriculture (LSMS-ISA) team. The objective of the LSMS-ISA is to collect multi-topic panel household level data with a special focus on improving agriculture statistics and the link between agriculture and other sectors of the economy. The project also aims to build capacity, share knowledge across countries, and improve survey methodologies and technology.

The specific objectives of the ERSS are: - Development of an innovative model for collecting agricultural data in conjunction with household data; - Strengthening the capacity to generate a sustainable system for producing accurate and timely information on agricultural households in Ethiopia; - Development of a model of inter-institutional collaboration between the CSA and relevant federal and local government agencies as well as national and international research and development partners; and - Comprehensive analysis of household income, well-being, and socio-economic characteristics of households in rural areas and small towns.

Geographic coverage

Regional Coverage

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

The ERSS sample is designed to be representative of rural and small town areas of Ethiopia. The ERSS rural sample is a sub-sample of the AgSS while the small town sample comes from the universe of small town EAs. The ERSS sample size provides estimates at the national level for rural and small town households. At the regional level, it provides estimates for four regions including Amhara, Oromiya, SNNP, and Tigray.

The sample is a two-stage probability sample. The first stage of sampling entailed selecting primary sampling units , which are a sample of the CSA enumeration areas (EAs). For the rural sample, 290 EAs were selected from the AgSS EAs. The AgSS EAs were selected based on probability proportional to size of the total EAs in each region. For small town EAs, a total of 43 EAs were selected. In order to ensure sufficient sample in the most populous regions (Amhara, Oromiya, SNNP, and Tigray), quotas were set for the number of EAs in each region. The sample is not representative for each of the small regions including Afar, Benshangul Gumuz, Dire Dawa, Gambella, Harari, and Somalie regions. However, estimates can be produced for a combination of all smaller regions as one "other region" category.

The second stage of sampling was the selection of households to be interviewed in each EA. For rural EAs, a total of 12 households are sampled in each EA. Of these, 10 households were randomly selected from the sample of 30 AgSS households. The AgSS households are households which are involved in farming or livestock activities. Another 2 households were randomly selected from all other households in the rural EA (those not involved in agriculture or livestock). In some EAs, there is only one or no such households, in which case, less than two non-agricultural households were surveyed and more agricultural households were interviewed instead so that the total number of households per EA remains the same.

In the small town EAs, 12 households are selected randomly from the listing of each EA, with no stratification as to whether the household is engaged in agriculture/livestock. Households were not selected using replacement. Thus, the final number of household interviewed was slightly less than the 3,996 as planned in the design.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

Most of the interviews were carried out using paper and pen interviewing method. The completed paper questionnaires were sent to the CSA headquarters in Addis Ababa. The questionnaires were first checked by editors for completeness and consistency. The editors checked completeness (taking inventory) and cross-checked the questionnaires with the EA codebook. Questionnaires with inconsistent responses or with errors were corrected by contacting the branch offices or, in some cases, by sending the questionnaires back to the field. Checked questionnaires were keyed by data entry clerks at the head office using CSPro data entry application software.

Computer assisted personal interviewing (CAPI) was implemented, as a pilot, in 33 of the 333 EAs using SurveyBe data collection software.

The data cleaning process was done in two stages. The first step was at the CSA head office using the CSA's data cleaning staff. The CSA data cleaning staff used the CSpro data cleaning application to capture out of range values, outliers, and skip inconsistencies from the batch error reports. Once the errors were flagged in the batch error report the hard copy of the original questionnaire was retrieved and checked if the errors were at the data collection, editing, or entry level. Editing and entry level errors were corrected at the head office. Field level errors were communicated with the branch offices in the regions. The second level of data cleaning was done using Stata program to check for inconsistencies.

Response rate

A total of 3,969 households were interviewed with a response rate of 99.3 percent.

Graph and download economic data for Geographical Outreach: Number of Branches, Excluding Headquarters, for Commercial Banks for Ethiopia (ETHFCBODCNUM) from 2004 to 2023 about branches, Ethiopia, banks, and depository institutions.

GDP from Services in Ethiopia increased to 971.30 ETB Billion in 2022 from 899.80 ETB Billion in 2021. This dataset provides - Ethiopia Gdp From Services- actual values, historical data, forecast, chart, statistics, economic calendar and news.